Processing method of infrared line-scan image based on Independent component analysis

The Independent Component Analysis(ICA) is a kind of effective blind source separation methods, which aims to separate the independent source signals from the mixed signals, making the output signals to be mutually independent as far as possible, from the collects of signals observed. A method of infrared line-scan image processing based on ICA is presented, which can remove effectively the uneven interference of the image. The principle of ICA and a FastICA algorithm based on negentropy criterion is introduced. The detailed processes of the method and results are given, which show that the method can realize the aim of enhancing image.